Many tasks once performed by humans are now carried out by autonomous artificial intelligence systems. An important aspect of such systems is their accountability, that is, how their decisions and behaviours can be recorded, scrutinised and, if necessary, revised.

In this project we aim to develop a new class of sensor molecules which are designed to give different changes in colour or fluorescence upon reaction with different types of target molecule, to allow non-experts to make informed decisions on CWA decontamination.

With the rapid development of 5G and AI integrated microchip techniques, effective edge computing become feasible. Edge computing is an emerging technique that aims to perform powerful AI computing in distributed AI-chip-enabled sensors/agents.

Our current understanding of soil exposure in the UK population is extremely limited. The current risk assessment paradigm makes large assumptions based on very uncertain data to estimate direct exposures via soil ingestion or dust inhalation.